图书馆AI聊天机器人持续使用意愿研究——基于情感体验的中介

Continuance Intention to Use AI Chatbots in Libraries:Mediation Based on Emotional Experience

[目的/意义]探究用户持续使用图书馆AI聊天机器人意愿的影响因素,更好地理解用户的持续性思维,并为未来学习生态下图书馆AI聊天机器人的进一步发展带来启示。[方法/过程]基于使用与满足理论和“刺激-机体-反应”框架,建立图书馆AI聊天机器人用户持续使用意愿概念模型。采用问卷调查法收集数据,再结合PLS-SEM和fsQCA混合研究方法对模型中所含变量与假设进行验证。[结果/结论]研究结果表明,享乐性(娱乐和逃避)、社会性(社交存在)和功利性(便利性和信息咨询)3种类型的满足对情感体验(敬畏体验和情感参与)有显著正向影响,其中逃避对敬畏体验影响最大,社交存在对情感参与影响最大;情感体验对持续使用意愿有显著正向影响,其中敬畏体验对持续使用意愿影响最大;情感体验作为作用机制影响了用户满足感和使用意愿。

[Purpose/Significance]In the era of digital intelligence,robots technology is playing an increasingly important role in the field of education.The applying of AI chatbots in library scenarios is an important lever for the future construction of learning ecosystems in universities.This study aims to explain the influencing factors of users'willingness to continue using library AI chatbots,and provide a new perspective beyond the IT perspective to understand the impact of the basic characteristics of AI chatbots on human behavioral intentions,in order to better understand the sustainability thinking of interpreters and provide some inspiration for the further development of library AI chatbots in the future learning ecosystem.[Method/Process]Based on U&G theory and the SOR framework,we developed a conceptual model of library AI chatbot users's willingness to continue using the chatbot.Data were collected using a questionnaire survey method,with teachers and students as the main respondents.The variables of the AI chatbot user's continuous usage intention model were set to 8,each consisting of 3-6 options,and then measured using a 7-point Likert scale.Finally,the variables and hypotheses in the model were validated using a mixed research method of PLS-SEM and fsQCA.[Results/Conclusions]The research results indicate that three types of satisfaction,hedonic(entertainment and avoidance),social(social presence),and utilitarian(convenience and information consultation),have a significant positive impact on emotional experience(awe experience and emotional participation),with avoidance having the greatest impact on awe experience and social presence having the greatest impact on emotional participation.Emotional experience has a significant positive impact on the intention to continue using,with awe experience having the greatest impact on the intention to continue using.Emotional experience,as a mechanism of action,affects user satisfaction and willingness to use.Based on the data analysis,four suggestions are proposed from the perspective of future learning ecology design and user psychology.When designing library AI chatbots,the usage scenarios should be enriched,and the healing function,immersive experiences and immersive experiences should be emphasized.The limitation of this study is that the use of first-hand cross-sectional data cannot prove whether the influencing mechanism changes over time.In the future,a combination of first-hand and second-hand data can be used to improve the explanatory power.In addition,although this study ensures the validity and reliability of cross-sectional data,there may be geographic and cultural differences in users'behavioral intentions.In the future,a comparative study of the intention to continue using library AI chatbots in different regions and levels can be considered.